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Inertial and inclinometer based profiler repeatability and accuracy using the IRI model : final report.

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  • Abstract:
    Oregon DOT is transitioning to use the International Roughness Index (IRI) for an incentive\disincentive program for ; pavement smoothness evaluation for newly paved roads. The IRI will typically be determined by contractors using inertial ; profilers. This research evaluated the procedures, site, and equipment used for establishing a reference profile for a ; certification process for inertial profilers. In a comparison of several profiling devices, the inclinometer-based profiler used ; by Oregon DOT for the reference profile showed sufficient results in repeatability and accuracy in profile measurement and ; calculation of IRI. However, the certification site shows significant variability in IRI across the site, which can lead to ; lower accuracy scores when the exact path is not followed. Further, significant differences in IRI were observed during ; repeat visits throughout the course of the study period. ; This study also evaluated the use of a new technology, terrestrial laser scanning, for pavement analyses. At larger extents, ; terrestrial laser scanning (TLS) was compared to several current techniques to measure road profiles including digital ; levels, inclinometers, and inertial profilers. TLS is able to collect a large, dense set of data relatively quickly for the entire ; roadway and surrounding areas; hence, the data can not only be used for evaluating the pavement roughness but also can be ; used for other design parameters such as transverse and longitudinal slope. The results show that profiles derived from ; TLS data determined accurate IRI values and cross-correlation with the reference profile. At a finer scale, micron ; resolution 3D laser scanners can be utilized to determine the influence of predominant aggregate size on the texture of the ; pavement.
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    urn:sha-512:debc5b930dfc2ce5c3b3092d1c19c0510143260887f863d2f36e96156645aaab6840338a86da96e956abb2726a86a391185a4727f2efde81835504d3f675a7c8
File Language:
English
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